WHO. Updated of the WHO Global NCD Action Plan 2013-2020. Geneva: World Health Organization; 2017. https://apps.who.int/iris/bitstream/handle/10665/259232/WHO-NMH-NVI-17.9-eng.pdf?sequence=1&isAllowed=y.
Bettcher DKE. Saving Lives, Spending Less: A Strategic Response to Noncommunicable Diseases. Geneva: World Health Organization; 2018. p. 1–37.
Google Scholar
Allen LN, Pullar J, Wickramasinghe KK, Williams J, Roberts N, Mikkelsen B, et al. Evaluation of research on interventions aligned to WHO ‘Best Buys’ for NCDs in low-income and lower-middle-income countries: a systematic review from 1990 to 2015. BMJ Glob Health. 2018;3(1):e000535.
Article
PubMed
Google Scholar
WHO. Noncommunicable diseases key facts 2018 Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases.
Google Scholar
Heller O, Somerville C, Suggs LS, Lachat S, Piper J, Aya Pastrana N, et al. The process of prioritization of non-communicable diseases in the global health policy arena. Health Policy Plan. 2019;34(5):370–83.
Article
PubMed
Google Scholar
Beaglehole R, Bonita R, Horton R, Adams C, Alleyne G, Asaria P, et al. Priority actions for the non-communicable disease crisis. Lancet. 2011;377(9775):1438–47.
Article
PubMed
Google Scholar
Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Results. Seattle: United States: Institute for Health Metrics and Evaluation (IHME); 2017.
Google Scholar
Bloom DE, Cafiero E, Jané-Llopis E, Abrahams-Gessel S, Bloom LR, Fathima S, Feigl AB, Gaziano T, Mowafi M, Pandya A, Prettner K. The global economic burden of non-communicable diseases. Geneva: World In Economic Forum 2011; 2011.
Google Scholar
WHO. Noncommunicable diseases country profiles 2018.
Google Scholar
WHO. Noncommunicable diseases in the Eastern Mediterranean Region. Regional Office for the Eastern Mediterranean. 2016.
Peykari N, Hashemi H, Dinarvand R, Haji-Aghajani M, Malekzadeh R, Sadrolsadat A, et al. National action plan for non-communicable diseases prevention and control in Iran; a response to emerging epidemic. J Diabetes Metab Disord. 2017;16(1):3.
Article
PubMed
PubMed Central
Google Scholar
Tabrizi JS, Farahbakhsh M, Sadeghi-Bazargani H, Nikniaz L. Prevention and control of non-communicable diseases in Iranian population: life style promotion project phase II: study protocol. Iran J Public Health. 2018;47(9):1397.
WHO. Iran’s Noncommunicable Diseases Committee receives UNIATF award 2018 Available from: https://www.who.int/ncds/un-task-force/events/2018-awards/en/.
Google Scholar
Islamic Republic of Iran on a fast-track to beating noncommunicable diseases 2017 Available from: https://www.who.int/en/news-room/feature-stories/detail/islamic-republic-of-iran-on-a-fast-track-to-beating-noncommunicable-diseases.
Bennett JE, Stevens GA, Mathers CD, Bonita R, Rehm J, Kruk ME, et al. NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. Lancet. 2018;392(10152):1072–88.
Article
Google Scholar
Shadmani FK, Farzadfar F, Larijani B, Mirzaei M, Haghdoost AA. Trend and projection of mortality rate due to non-communicable diseases in Iran: A modeling study. PLoS One. 2019;14(2):e0211622.
Article
CAS
Google Scholar
Doshmangir L, Takian A. Capacity building to improve hospital managers’ performance in West Asia. Int J Health Policy Manag. 2019;8(5):319.
Article
PubMed
PubMed Central
Google Scholar
Bloom DE, Chisholm D, Jané-Llopis E, Prettner K, Stein A, Feigl A. From burden to “best buys”: reducing the economic impact of non-communicable disease in low-and middle-income countries. Program on the Global Demography of Aging; 2011.
Google Scholar
Shaw S, Elston J, Abbott S. Comparative analysis of health policy implementation: the use of documentary analysis. Policy Stud. 2004;25(4):259–66.
Article
Google Scholar
Ren X, Lv Y, Wang K, Han J, editors. Comparative document analysis for large text corpora. Proceedings of the Tenth ACM International Conference on Web Search and Data Mining; 2017.
Google Scholar
Jakniūnaitė D. Working paper introducing the analytical framework for comparing approaches and strategies of the selected external actors; 2017.
Google Scholar
WHO. Tackling NCDs: ‘best buys’ and other recommended interventions for the prevention and control of noncommunicable diseases. Geneva: World Health Organization; 2017.
Dolan JG. Involving patients in decisions regarding preventive health interventions using the analytic hierarchy process. Health Expect. 2000;3(1):37–45.
Article
PubMed
Google Scholar
Ferrari MD, Goadsby PJ, Lipton RB, Dodick DW, Cutrer FM, McCrory D, et al. The use of multiattribute decision models in evaluating triptan treatment options in migraine. J Neurol. 2005;252(9):1026–32.
Article
CAS
PubMed
Google Scholar
Van Wijk BL, Klungel OH, Heerdink ER, de Boer AJ. A comparison of two multiple-characteristic decision-making models for the comparison of antihypertensive drug classes. Am J Cardiovasc Drugs. 2006;6(4):251–8.
Article
PubMed
Google Scholar
Guibal F, Iversen L, Puig L, Strohal R, Williams P. Identifying the biologic closest to the ideal to treat chronic plaque psoriasis in different clinical scenarios: using a pilot multi-attribute decision model as a decision-support aid. Curr Med Res Opin. 2009;25(12):2835–43.
Article
PubMed
Google Scholar
Dolan JG. Multi-criteria clinical decision support. Patient: Patient-Centered Outcomes Res. 2010;3(4):229–48.
Article
Google Scholar
Ethgen O, Topachevskyi O, Connolly M, Standaert BJ. PRM170 Optimizing Public Health Decision Over Time: A Dynamic Budget Optimization Model With Multiple Criteria Decision Making. Value Health. 2012;15(7):A491.
Article
Google Scholar
Littlejohns P, Weale A, Chalkidou K, Teerwattananon Y, Faden R, Sharma T, et al. Social values and health priority setting in England:“values” based decision making. 2012.
Google Scholar
Thokala P, Duenas AJ. Multiple criteria decision analysis for health technology assessment. Value Health. 2012;15(8):1172–81.
Article
PubMed
Google Scholar
Wen S, Zhang L, Yang B. Two approaches to incorporate clinical data uncertainty into multiple criteria decision analysis for benefit-risk assessment of medicinal products. Value Health. 2014;17(5):619–28.
Article
PubMed
Google Scholar
Hsu JC, Hsieh C-Y, Yang Y-HK, Lu CY. Net clinical benefit of oral anticoagulants: a multiple criteria decision analysis. PLoS One. 2015;10(4):e0124806.
Article
PubMed
CAS
Google Scholar
Angelis A, Kanavos P. Value-based assessment of new medical technologies: towards a robust methodological framework for the application of multiple criteria decision analysis in the context of health technology assessment. Pharmacoeconomics. 2016;34(5):435–46.
Article
PubMed
Google Scholar
Ebrahimi M, Modam MM. Selecting the best zones to add new emergency services based on a hybrid fuzzy MADM method: a case study for Tehran. Safety Sci. 2016;85:67–76.
Article
Google Scholar
Mobinizadeh M, Raeissi P, Nasiripour AA, Olyaeemanesh A, Tabibi SJ. A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach. Daru. 2016;24(1):10.
Article
PubMed
PubMed Central
Google Scholar
Mohamadi E, Tabatabaei SM, Olyaeemanesh A, Sagha SF, Zanganeh M, Davari M, et al. Coverage Decision-Making for Orthopedics Interventions in the Health Transformation Program in Iran: A Multiple Criteria Decision Analysis (MCDA). Shiraz E-Med J. 2016;17(12):1–9.
Viyanchi A, Ghatari AR, Rasekh HR, SafiKhani H. Administrative process and criteria ranking for drug entering health insurance list in Iran-TOPSIS-based consensus model. Iran J Pharm Res. 2016;15(1):369.
PubMed
PubMed Central
Google Scholar
Angelis A, Kanavos P. Multiple criteria decision analysis (MCDA) for evaluating new medicines in health technology assessment and beyond: the Advance Value Framework. Soc Sci Med. 2017;188:137–56.
Article
PubMed
Google Scholar
Angelis A, Montibeller G, Hochhauser D, Kanavos P. Multiple criteria decision analysis in the context of health technology assessment: a simulation exercise on metastatic colorectal cancer with multiple stakeholders in the English setting. BMC Med Inform Decis Mak. 2017;17(1):149.
Article
PubMed
Google Scholar
Drake JI, de Hart JCT, Monleón C, Toro W, Valentim J. Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016. J Mark Access Health Policy. 2017;5(1):1360545.
Article
PubMed
PubMed Central
Google Scholar
Mühlbacher AC, Sadler A. The probabilistic efficiency frontier: a framework for cost-effectiveness analysis in Germany put into practice for hepatitis C treatment options. Value Health. 2017;20(2):266–72.
Article
PubMed
Google Scholar
Gutknecht M, Danner M, Schaarschmidt M-L, Gross C, Augustin M. Assessing the importance of treatment goals in patients with psoriasis: analytic hierarchy process vs. Likert Scales. Patient. 2018;11(4):425–37.
Article
PubMed
Google Scholar
Hummel MJ, Volz F, van Manen JG, Danner M, Dintsios C-M, Ijzerman MJ, et al. Using the analytic hierarchy process to elicit patient preferences. Patient. 2012;5(4):225–37.
Article
PubMed
Google Scholar
IJzerman MJ, Van Til JA, Bridges J. A comparison of analytic hierarchy process and conjoint analysis methods in assessing treatment alternatives for stroke rehabilitation. Patient. 2012;5(1):45–56.
Article
PubMed
Google Scholar
Reddy B, Kelly M, Thokala P, Walters S, Duenas AJ. Prioritising public health guidance topics in the National Institute for Health and Care Excellence using the Analytic Hierarchy Process. Public Health. 2014;128(10):896–903.
Article
CAS
PubMed
Google Scholar
Sabir M, Ali Y, Muhammad N. Forecasting incidence of dengue and selecting best method for prevention. J Pak Med Assoc. 2018;68(9):1383–6.
PubMed
Google Scholar
Belton V, Stewart T. Multiple criteria decision analysis: an integrated approach: Springer Science & Business Media; 2002.
Book
Google Scholar
WHO. STEPwise approach to chronic disease risk factor surveillance, country reports and data books. 2016.
Google Scholar
Farzadfar F. National and Sub-National Burden of Diseases’ Atlas Islamic Republic of Iran 1990-2015 2015 Available from: https://vizit.report/en/index.html.
Google Scholar
Farzadfar F, Delavari A, Malekzadeh R, Mesdaghinia A, Jamshidi HR, Sayyari A, et al. NASBOD 2013: Design, definitions, and metrics (study protocol). 2014.
Google Scholar
Statistical Centre of Iran. Available from: https://www.amar.org.ir/english/.
Institute for Health Metrics and Evaluation (IHME). GBD Compare. Seattle: IHME, University of Washington; 2017. Available from http://vizhub.healthdata.org/gbd-compare. Accessed 10 Apr 2019.
Compare GBD. Viz Hub: The Global Burden of Diseases, Injuries, and Risk Factors Study. https://vizhub.healthdata.org/gbd-compare/. Accessed 11 Mar 2019.
WHO. Four noncommunicable diseases, four shared risk factors. Available on line at: http://www.who.int/ncdnet/about/4diseases/en/index.html 2017.
Google Scholar
Kelly BB, Fuster V. Promoting cardiovascular health in the developing world: a critical challenge to achieve global health: National Academies Press; 2010.
Google Scholar
Afshin A, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, et al. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the global burden of disease study 2017. 2019.
Google Scholar
Mirmiran P, Ghohroudy AF, Niazi SH, Ahmadi B, Nayeri F, Azizi FJ. Dietary Patterns and Non Communicable Disease Among Iranian Women: A Systematic Review. Women’s Health Bull. 2014;1(3):1–8.
Al Jawaldeh A, Rafii B, Nasreddine L. Salt intake reduction strategies in the Eastern Mediterranean Region. East Mediterr Health J. 2018;24(12):1172–80.
Article
Google Scholar
Saghafi Z, Zargaraan A, Tabibiazar M, Hosseini HJN. Is trans fatty acid still an issue for policy makers in Iran? A Technical Report. Nutr Food Sci Res. 2018;5(2):47–51.
Article
CAS
Google Scholar
Jamali A, Moslemi M, Akramzadeh N, Khaneghah AMJCN. Safety Factors of Oils Marketed in Iran and Applicable Strategies in Control of Food Derived Cardiovascular Diseases. Curr Nutr Food Sci. 2019;15:1–6.
Article
Google Scholar
Rezaei S, Mahmoudi Z, Sheidaei A, Aryan Z, Mahmoudi N, Gohari K, et al. Salt intake among Iranian population: the first national report on salt intake in Iran. J Hypertens. 2018;36(12):2380–9.
Article
CAS
PubMed
Google Scholar
MoHME. Improve and reform the community dietary habit. Public health reform in the health system. Ministry of Health and Medical Education,I.R IRAN; 2017. p. 715–54.
Google Scholar
Riahi M, Rohani H, Rajabi N, Bidkhori M. Tobacco tax and price in the developed and developing countries in the World. Data Brief. 2018;20:767–74.
Article
PubMed
PubMed Central
Google Scholar
WHO. The cigarette “transit” road to the Islamic Republic of Iran and Iraq illicit tobacco trade in the Middle East. World Health Organization. Cairo: Regional Office for the Eastern Mediterranean; 2003.
MoHME. Promoting mental and social health and reducing the risk of high-risk behaviors and HIV, Public health reform in the health system; 2017. p. 757–841.
Google Scholar
Kempen A. Fake/counterfeit alcohol-don't jeopardise your health and life for cheap alcohol. Servamus Community Based Saf Secur Mag. 2019;112(3):30–4.
Google Scholar
Tobiassen RM. The “Fake Alcohol” Situation in the United States: The Impact of Culture, Market Economics, and the Current Regulatory Systems. Federal Regulatory and Compliance Consultant Falls Church, Virginia. 2014. https://www.centerforalcoholpolicy.org/wp-content/uploads/2015/04/The_Fake_Alcohol_Situation_in_the_United-States_compressed.pdf. Accessed 15 Mar 2019.
Al-Ansari B, Thow AM, Day CA, Conigrave KM. Extent of alcohol prohibition in civil policy in Muslim majority countries: the impact of globalization. Addiction. 2016;111(10):1703–13.
Article
PubMed
Google Scholar
Youngkong S, Teerawattananon Y, Tantivess S, Baltussen R. Multi-criteria decision analysis for setting priorities on HIV/AIDS interventions in Thailand. Health Res Policy Syst. 2012;10(1):6.
Article
PubMed
Google Scholar
Youngkong S, Baltussen R, Tantivess S, Mohara A, Teerawattananon Y. Multicriteria decision analysis for including health interventions in the universal health coverage benefit package in Thailand. Value Health. 2012;15(6):961–70.
Article
PubMed
Google Scholar
Tony M, Wagner M, Khoury H, Rindress D, Papastavros T, Oh P, et al. Bridging health technology assessment (HTA) with multicriteria decision analyses (MCDA): field testing of the EVIDEM framework for coverage decisions by a public payer in Canada. BMC Health Serv Res. 2011;11(1):329.
Article
PubMed
Google Scholar
Borg P, Fogelholm M. Stakeholder appraisal of policy options for responding to obesity in Finland. Obes Rev. 2007;8:47–52.
Article
PubMed
Google Scholar
Baltussen R, Youngkong S, Paolucci F, Niessen L. Multi-criteria decision analysis to prioritize health interventions: Capitalizing on first experiences. Health Policy. 2010;96(3):262–4.
Article
PubMed
Google Scholar
WHO. Follow-up to the high-level meetings of the United Nations General Assembly on health-related issues. 2019.
Google Scholar